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Deep Learning for Semantic Composition.

, and . ACL (Tutorial Abstracts), page 6-7. Association for Computational Linguistics, (2017)

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Machine-learned solutions for three stages of clinical information extraction: the state of the art at i2b2 2010., , , , and . JAMIA, 18 (5): 557-562 (2011)Natural Language Inference with External Knowledge., , , , and . CoRR, (2017)Using Outcome Polarity in Sentence Extraction for Medical Question-Answering., , and . AMIA, AMIA, (2006)Identifying salient utterances of online spoken documents using descriptive hypertext., , and . SLT, page 173-176. IEEE, (2008)Comparing the roles of textual, acoustic and spoken-language features on spontaneous-conversation summarization., and . HLT-NAACL, The Association for Computational Linguistics, (2006)Recurrent Neural Network-Based Sentence Encoder with Gated Attention for Natural Language Inference., , , , , and . RepEval@EMNLP, page 36-40. Association for Computational Linguistics, (2017)Promoting Diversity for End-to-End Conversation Response Generation., , , , and . CoRR, (2019)NRC-Canada-2014: Recent Improvements in the Sentiment Analysis of Tweets., , and . SemEval@COLING, page 443-447. The Association for Computer Linguistics, (2014)Utterance-Level Extractive Summarization of Open-Domain Spontaneous Conversations with Rich Features., and . ICME, page 793-796. IEEE Computer Society, (2006)Revisiting Word Embedding for Contrasting Meaning., , , , , , and . ACL (1), page 106-115. The Association for Computer Linguistics, (2015)